What question did this study set out to answer?

To develop an AI-augmented decision intelligence framework for enterprise systems focused on resource and talent optimization.

March 30, 2026Open Access

AI-Augmented Decision Intelligence for Enterprise Systems: Integrating Cognitive Analytics for Resource and Talent Optimization

Key Points

To develop an AI-augmented decision intelligence framework for enterprise systems focused on resource and talent optimization.
Integrated cognitive analytics and decision support systems
Employed predictive modeling techniques
Utilized human-in-the-loop approaches for enhanced decision-making
Demonstrated statistical validation of AI-driven decision intelligence
Indicated improvement in enterprise performance
Provided a scalable roadmap for organizational transformation

Abstract

This paper presents an AI-augmented decision intelligence framework for enterprise systems, integrating cognitive analytics, predictive modeling, and human-in-the-loop decision support for optimized resource allocation and talent management. The study demonstrates statistical validation of AI-driven decision intelligence adoption and its impact on enterprise performance, providing a scalable roadmap for data-driven organizational transformation.

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V. Viswanathan (Fri,) studied this question.

www.synapsesocial.com/papers/69c9c5a4f8fdd13afe0bd80c — DOI: https://doi.org/10.5281/zenodo.19293231

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AI-Augmented Decision Intelligence for Enterprise Systems: Integrating Cognitive Analytics for Resource and Talent Optimization

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